egf_top

egf_top.egf

egf_top.egf_no_fit

egf_top.egf_model

Retrieves the names used internally for top level nonlinear model
parameters.

Maximum likelihood estimation of nonlinear mixed effects models of
epidemic growth using Template Model Builder ('TMB'). Enables
joint estimation for collections of disease incidence time series,
including time series that describe multiple epidemic waves.
Supports a set of widely used phenomenological models: exponential,
logistic, Richards (generalized logistic), subexponential,
and Gompertz. Provides methods for interrogating model objects
and several auxiliary functions, including one for computing basic
reproduction numbers from fitted values of the initial exponential
growth rate.
Preliminary versions of this software were applied
in Ma et al. (2014) <doi:10.1007/s11538-013-9918-2> and
in Earn et al. (2020) <doi:10.1073/pnas.2004904117>.

Mikael Jagan

epigrowthfit

Nonlinear Mixed Effects Models of Epidemic Growth

Ben Bolker

Jonathan Dushoff

David Earn

Junling Ma

egf_top function

<dl><dt>object</dt>
<dd>an R object specifying a top level nonlinear model,
 typically of class <code>egf_model</code> or <code>egf</code>.</dd><dt>link</dt>
<dd>a logical flag. If <code>TRUE</code>, then <code>"&lt;link&gt;(&lt;name&gt;)"</code>
 is returned instead of <code>"&lt;name&gt;"</code>.</dd><dt>...</dt>
<dd>unused optional arguments.</dd></dl>

Arguments

Top Level Nonlinear Model Parameter Names — egf_top

<dl>

<dt>object</dt>
<dd>an R object specifying a top level nonlinear model,
 typically of class <code>egf_model</code> or <code>egf</code>.</dd>

<dt>link</dt>
<dd>a logical flag. If <code>TRUE</code>, then <code>"&lt;link&gt;(&lt;name&gt;)"</code>
 is returned instead of <code>"&lt;name&gt;"</code>.</dd>

<dt>...</dt>
<dd>unused optional arguments.</dd>

</dl>

egf_top: Top Level Nonlinear Model Parameter Names

Description

Usage

Value

Arguments